Segmentalized FCM-based tracking algorithm for zigzag maneuvering target

被引：0
作者：
Hyun Seung Son
Jin Bae Park
Young Hoon Joo
机构：
[1] Yonsei University,Department of Electrical and Electronic Engineering
[2] Kunsan National University,Department of Control and Robot Engineering
来源：
International Journal of Control, Automation and Systems | 2015年 / 13卷
关键词：
Acceleration; fuzzy c-means clustering; noise; target tracking; zigzag maneuvering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a new method for tracking a zigzag maneuvering target by compensating for the positional error of the target. The positional difference between the measured and predicted points is separated into acceleration and noise. Fuzzy c-means (FCM) clustering is utilized as an adaptive method for noise separation. Approximating acceleration is determined by the membership function of the FCM. The approximated acceleration is used to compensate for the tracking error. The procedures of the proposed algorithm can be implemented as an on-line system. Finally, some examples are provided to show the effectiveness of the proposed algorithm.
引用
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页码：231 / 237
页数：6
相关论文
共 40 条
[1]  
Singer R. A.(1970)Estimating optimal tracking filter performance for manned maneuvering targets IEEE Trans. Aerospace and Electronic Syst. 4 473-483
[2]  
Chan Y. T.(1979)A Kalman filter based tracking scheme with input estimation IEEE Trans. Aerospace and Electronic Syst. 15 237-244
[3]  
Hu A. G. C.(2003)An intelligent tracking method for a maneuvering target International Journal of Control, Automation, and Systems 1 93-100
[4]  
Plant J. B.(2005)Fuzzy-logic-based IMM algorithm for tracking a maneuvering target IEE Proceedings-Radar, Sonar and Navigation 152 16-22
[5]  
Lee B. J.(2007)Intelligent tracking algorithm for maneuvering target using Kalman filter with fuzzy gain IET Proceedings-Radar, Sonar and Navigation 1 241-247
[6]  
Park J. B.(2012)SIMM method based on acceleration extraction for nonlinear maneuvering target tracking Journal of Electrical Engineering and Technology 7 255-263
[7]  
Joo Y. H.(1990)Separate-bias Kalman estimator with bias state noise IEEE Trans. on Automatic Control 35 338-341
[8]  
Lee B. J.(1987)Tracking a maneuvering target using input estimation IEEE Trans. Aerospace and Electronic Syst. 23 298-310
[9]  
Park J. B.(1988)The interacting multiple model algorithm for systems with Markovian switching coefficients IEEE Trans. Automatic Cont. 33 780-783
[10]  
Joo Y. H.(1995)Adaptive interacting multiple model algorithm for tracking a maneuvering target IEE Proceedings-Radar, Sonar and Navigation 142 11-17
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